scholarly journals Self-optimization system dynamics simulation of reservoir operating rules

2018 ◽  
Vol 246 ◽  
pp. 01013 ◽  
Author(s):  
Benjun Jia ◽  
Jianzhong Zhou ◽  
Lu Chen ◽  
Zhongzheng He ◽  
Liu Yuan ◽  
...  
Keyword(s):  
Power Generation ◽  
System Dynamics ◽  
Reservoir Operation ◽  
Goodness Of Fit ◽  
Dynamics Simulation ◽  
Term Operation ◽  
Optimization System ◽  
Operating Rules ◽  
Operation Rules ◽  
Fitting Method

Operating rules have been used widely in the reservoir long-term operation duo to its characteristics of coping with inflow uncertainty and easy implementation. And implicit stochastic optimization (ISO) has been widely applied to derive reservoir operation rules, based on linear regression or nonlinear fitting method. However, the maximum goodness-of-fit criterion of fitting method may be unreliable to determine the effective rules. Therefore, this paper develops a self-optimization system dynamics (SD) simulation of reservoir operation for optimizing the operating rules, by taking advantages of feedback loops in SD simulation. A deterministic optimization operation model is firstly established, and then resolved using dynamic programming (DP). Simultaneously, the initial operating rules (IOR) are derived using the linear fitting method. Finally, the refined optimal operating rules (OOR) are obtained by improving the IOR based on the self-optimization SD simulation. China’s Three Gorges Reservoir is used as a case study. The results show that the SD simulation is competent in simulating a complicated hydropower system with feedback and causal loops. Moreover, it makes a contribution to improve the IOR derived by fitting method within an ISO frame. And the OOR improve effectively the guarantee rate of power generation on the premise of ensuring power generation.

scholarly journals System Dynamics Simulation of Large-Scale Generation System for Designing Wind Power Policy in China

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Linna Hou
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
System Dynamics ◽  
Wind Power ◽  
Large Scale ◽  
Clean Energy ◽  
Energy Generation ◽  
Dynamics Simulation ◽  
Generation System ◽  
Effectiveness And Efficiency

This paper focuses on the impacts of renewable energy policy on a large-scale power generation system, including thermal power, hydropower, and wind power generation. As one of the most important clean energy, wind energy has been rapidly developed in the world. But in recent years there is a serious waste of wind power equipment and investment in China leading to many problems in the industry from wind power planning to its integration. One way overcoming the difficulty is to analyze the influence of wind power policy on a generation system. This paper builds a system dynamics (SD) model of energy generation to simulate the results of wind energy generation policies based on a complex system. And scenario analysis method is used to compare the effectiveness and efficiency of these policies. The case study shows that the combinations of lower portfolio goal and higher benchmark price and those of higher portfolio goal and lower benchmark price have large differences in both effectiveness and efficiency. On the other hand, the combinations of uniformly lower or higher portfolio goal and benchmark price have similar efficiency, but different effectiveness. Finally, an optimal policy combination can be chosen on the basis of policy analysis in the large-scale power system.

scholarly journals Identifying Efficient Operating Rules for Hydropower Reservoirs Using System Dynamics Approach—A Case Study of Three Gorges Reservoir, China

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2448 ◽  
Author(s):  
Jianzhong Zhou ◽  
Benjun Jia ◽  
Xiao Chen ◽  
Hui Qin ◽  
Zhongzheng He ◽  
...  
Keyword(s):  
System Dynamics ◽  
Three Gorges Reservoir ◽  
Central China ◽  
Optimal Decision ◽  
Three Gorges ◽  
Term Operation ◽  
Operating Rules ◽  
Hydropower Reservoirs

In the long-term operation of hydropower reservoirs, operating rules have been used widely to decide reservoir operation because they can help operators make an approximately optimal decision with limited runoff information. However, the problems faced by reservoir managers is how to make and select an efficient operating rule properly. This study focuses on identifying efficient and reliable operating rules for the long-term operation of hydropower reservoirs using system dynamics (SD) approach. A stochastic hydrological model of reservoir inflow time series was established and used to generate a large number of inflow scenarios. A deterministic optimization operation model of hydropower reservoirs was constructed and then resolved using dynamic programming (DP) algorithm. Simultaneously, within implicit stochastic optimization (ISO) framework, different operating rules were derived using linear fitting methods. Finally, the most efficient one of the existing operating rules was identified based on SD simulation coupled with the operating rules. The Three Gorges Reservoir (TGR) in central China was used as a case study. The results show that the SD simulation is an efficient way to simulate a complicated reservoir system using feedback and causal loops. Moreover, it can directly and efficiently guide reservoir managers to make and identify efficient operating rules for the long-term operation of hydropower reservoirs.

scholarly journals Comparison of Optimal Hedging Policies for Hydropower Reservoir System Operation

Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 121 ◽  
Author(s):  
Aida Tayebiyan ◽  
Thamer Ahmad Mohammad ◽  
Nadhir Al-Ansari ◽  
Mohammad Malakootian
Keyword(s):  
Power Generation ◽  
Reservoir Operation ◽  
Water Storage ◽  
Optimal Decision ◽  
Hydropower Generation ◽  
Mean Power ◽  
Reservoir System ◽  
Operation Rules ◽  
Significant Difference ◽  
Hydropower Reservoir

Reservoir operation rules play an important role in regions economic development. Meanwhile, hedging policies are mostly applied for municipal, industrial, and irrigation water supplies from reservoirs and it is less used for reservoir operation for hydropower generation. The concept of hedging and rationing factors can be used to maintain the water in a reservoir for the sake of increasing water storage and water head for future use. However, water storage and head are the key factors in operation of reservoir systems for hydropower generation. This study investigates the applicability of seven competing hedging policies including four customary forms of hedging (1PHP, 2PHP, 3PHP, DHP) and three new forms of hedging rules (SOPHP, BSOPHP, SHPHP) for reservoir operation for hydropower generation. The models were constructed in MATLAB R2011b based on the characteristics of the Batang Padang hydropower reservoir system, Malaysia. In order to maximize the output of power generation in operational periods (2003–2009), three optimization algorithms namely particle swarm optimization (PSO), genetic algorithm (GA), and hybrid PSO-GA were linked to one of the constructed model (1PHP as a test) to find the most effective algorithm. Since the results demonstrated the superiority of the hybrid PSO-GA algorithm compared to either PSO or GA, the hybrid PSO-GA were linked to each constructed model in order to find the optimal decision variables of each model. The proposed methodology was validated using monthly data from 2010–2012. The results showed that there are no significant difference between the output of monthly mean power generation during 2003–2009 and 2010–2012.The results declared that by applying the proposed policies, the output of power generation could increase by 13% with respect to the historical management. Moreover, the discrepancies between mean power generations from highest to lowest months were reduced from 49 MW to 26 MW, which is almost half. This means that hedging policies could efficiently distribute the water-supply and power-supply in the operational period and increase the stability of the system. Among the studied hedging policies, SHPHP is the most convenient policy for hydropower reservoir operation and gave the best result.

scholarly journals Development of multi-objective reservoir operation rules for integrated water resources management

2009 ◽  
Vol 12 (2) ◽  
pp. 185-200 ◽  
Author(s):  
T. S. Cheong ◽  
I. Ko ◽  
J. W. Labadie
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Reservoir Operation ◽  
Integrated Water Resources Management ◽  
Optimization Models ◽  
Resources Management ◽  
Operating Rules ◽  
Operation Rules ◽  
Optimal Network ◽  
Reservoir Conditions

Real-time monitoring, databases, optimization models and visualization tools have been integrated into a Decision Support System (DSS) for optimal water resources management of two water supply reservoirs, the Daechung Reservoir and the Yongdam Reservoir of the Geum River basin, Daejeon, Korea. The KModSim as a DSS has been designed to provide information on current reservoir conditions to operational staff and to help in making decisions for short- and long-term management. For the physical calibration, the network simulations in seasonal water allocation of both reservoirs are performed for 23 years from January 1 1983 to June 30 2006. Linear and nonlinear operating rules are developed by using the actual reservoir operation data obtained from both reservoirs which are then used in KModSim by the hydrologic state method to estimate optimized target storages of both reservoirs. For validation of hydrologic states in KModSim and scenario testing for the management simulations, the optimal network simulation for the seasonal water allocations from October 1 2002 to June 30 2006 were also performed. The results' simulation by new rules fit the measured actual reservoir storage and represent well the various outflow discharge curves measured at the gauging stations of Geum River. The developed operating rules are proven to be superior in explaining actual reservoir operation as compared to the simulated target storages by existing optimization models.

scholarly journals Optimizing multi-reservoir operation rules: an improved HBMO approach

2010 ◽  
Vol 13 (1) ◽  
pp. 121-139 ◽  
Author(s):  
Abbas Afshar ◽  
Mahyar Shafii ◽  
Omid Bozorg Haddad
Keyword(s):  
Reservoir Operation ◽  
Optimization Problems ◽  
Optimization Technique ◽  
Case Examples ◽  
Rule Curves ◽  
Operating Rules ◽  
Operation Rules ◽  
Real Coded Genetic Algorithm ◽  
Reservoir Systems ◽  
Improved Model

We present an improved version of Honey Bees Mating Optimization (HBMO) algorithm to develop operating rules for multi-reservoir systems. The performance of the proposed model is tested through sensitivity analysis and comparing the result with those of a real-coded Genetic Algorithm (GA) for a 60-month period single-reservoir operation problem. The improved model is subsequently employed to derive release rule and storage balancing functions which form operating policy for a multi-reservoir system along two case examples: (i) water supply and (ii) hydropower generation. The obtained operating rule curves can be used to guide the system operators in decision-making. These rule curves provide the operator with the opportunity to systematically look at the system and to make proper decisions. The obtained results showed that the optimization technique proposed in this study is capable of solving complex multi-reservoir systems operation problems. Moreover, the proposed structure properly handled the tight constraints defining the parallel reservoirs operation in such a way that all the generated solutions were feasible after a particular set of iterations. The proposed optimization algorithm of this study can be developed more in future to solve multi-modal optimization problems, and also to define operation policies for highly complex multi-reservoir systems.

Virtual enterprise networks: the fifth element of corporate governance

2001 ◽  
Vol 20 (3) ◽  
pp. 171-188
Author(s):  
Nicholas C. Georgantzas
Keyword(s):  
Corporate Governance ◽  
System Dynamics ◽  
Transaction Cost ◽  
Transaction Cost Economics ◽  
Virtual Enterprise ◽  
Dynamics Simulation ◽  
Enterprise Networks ◽  
Market Uncertainty ◽  
Competitive Edge ◽  
Exchange Governance

Although still flying low under the popular business media's collective radar, virtual enterprise networks (or nets) do receive increased attention in the strategic management literature. A virtual enterprise network (VEN) is a system of autonomous firms that collaborate to achieve common business objectives. VENs give participants a competitive edge in markets demanding agility and rapid response. Seen as an emerging transactional exchange governance (TEG) form within transaction cost economics (TCE), VENs and the relations among firms that form them posit challenges for researchers and managers. VENs differ substantially from markets and hierarchies, and from recurrent and relational contracts, utterly changing what it means to be a firm in today's business. This essay explores alternative TEG forms, their characteristics and the criteria that bear on the choice of corporate governance: flexible specialization, market uncertainty, product (good or service) complexity, reliance on trust, risk, self-organization, shared knowledge, and socio-territorial cohesiveness. The essay offers propositions on the relations among economic criteria and the choice of transactional exchange governance forms by exploring the dynamics of a generic TEG structure. This is a system dynamics simulation model that partially offsets the shortcomings of transaction cost economics (TCE) and points to the potentially rich contribution of system dynamics to exploring VENs beyond the ideal-type TEG forms of markets and hierarchies that dominate the TCE literature.

System Dynamics Modeling for a Public–Private Partnership Program to Promote Bicycle–Metro Integration Based on Evolutionary Game

2021 ◽  
pp. 036119812110124
Author(s):  
Jianming Cai ◽  
Yue Liang
Keyword(s):  
System Dynamics ◽  
Evolutionary Game ◽  
Public Private Partnership ◽  
Dynamics Simulation ◽  
Rail Transit ◽  
Long Distance ◽  
Private Partnership ◽  
Bike Sharing ◽  
Integration Mode ◽  
Partnership Program

A marriage between dockless bike-sharing systems and rail transit presents new opportunities for sustainable transportation in Chinese cities. However, how to promote the bicycle–metro integration mode remains largely unstudied. This paper designs a public–private partnership program to promote bicycle–metro integration. We consider the cooperation between bike-sharing companies and rail transit companies to improve both services and attract long-distance travelers to choose the bicycle–metro integration mode, with government subsidies. To analyze the proportion of each population participating in this public–private partnership program, we establish an evolutionary game model considering bike-sharing companies, rail transit companies, and long-distance travelers, and obtain eight scenarios of equilibriums and corresponding stable conditions. To prove the evolutionary game analysis, we construct a system dynamics simulation model and confirm that the public–private partnership project can be achieved in reality. We discuss key parameters that affect the final stable state through sensitivity analysis. The results demonstrate that by reasonably adjusting the values of parameters, each equilibrium can be changed into an optimal evolutionary stable strategy. This study can provide useful policy implications and operational recommendations for government agencies, bike-sharing companies, and transit authorities to promote bicycle–metro integration.

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