Micro-Grid Multi-Objective Optimizing Operation

2014 ◽  
Vol 1070-1072 ◽  
pp. 1307-1311
Author(s):  
Fang Liu ◽  
Xiu Yang
Keyword(s):  
Operation Mode ◽  
Operating Cost ◽  
Single Object ◽  
Multi Objective ◽  
Pollution Emission ◽  
Economic Operation ◽  
Micro Grid ◽  
Optimizing Model ◽  
Minimum Operating ◽  
The Membership Function

Reducing environmental pollution and achieving economic operation have become focus of the research about micro-grid (MG). The minimum operating cost and the minimum pollution emission cost are taken as optimizing objects, and the multi-object optimizing model of MG is established. The membership function is used to process multi-objective function, then the conversion of multi-object to single object is achieved. Genetic Algorithm is used to optimize the operating state of each unit, then the best operation mode is formed.

Micro-Grid Economic Operation Contains Electric Boiler

2014 ◽  
Vol 1070-1072 ◽  
pp. 1297-1301 ◽  
Author(s):  
Fang Liu ◽  
Xiu Yang
Keyword(s):  
Heat Load ◽  
Large Scale ◽  
Operating Cost ◽  
Safe Operation ◽  
Load Demand ◽  
Economic Operation ◽  
Electric Boiler ◽  
Micro Grid ◽  
Micro Turbine ◽  
Minimum Operating

When Micro-grid (MG) is accessed into large scale of wind turbines, whose anti-peak-adjusting characteristic will increases difficulty of economic and safe operation about MG. The ability to participate in the system peak-adjustment of micro-turbine will be greatly limited, as the CHP run as “heat-load-based” mode and the electric power outputting depends on heat load demand. So that, installing heat boiler to absorb surplus wind power in the anti-peak-adjusting periods, and to combine with CHP supplying heat energy will decoupling “heat-load-based” constraint, and then the flexible schedulability of MG will be improved. The minimum operating cost of MG is regarded as optimizing object, Genetic Algorithm is used to optimize operational status of each unit in MG, then the heat and electricity comprehensive optimization is realized.

Micro-Grid Energy Optimization Include Battery-Swapping-Station

2014 ◽  
Vol 672-674 ◽  
pp. 1358-1363
Author(s):  
Liu Shu ◽  
Fang Liu ◽  
Xiu Yang
Keyword(s):  
Genetic Algorithm ◽  
Renewable Energy ◽  
Electric Vehicle ◽  
Negative Impact ◽  
Operating Cost ◽  
Energy Optimization ◽  
Optimal Operation ◽  
Operation Efficiency ◽  
Micro Grid ◽  
Minimum Operating

Accessing electric vehicle (EV) into micro-grid (MG) by battery-swapping station (BSS) will not only reduce the negative impact brought by EVs which are directly accessed into MG, but also improve the capacity of MG to absorb more renewable energy. That BSS is regarded as schedulable load is guided to avoid peak and fill valley according to TOU. As a result, the gap between peak and valley of MG is decreased and the operation efficiency of MG is elevated. A specific MG is taken as the studying object and the minimum operating cost is regarded as the optimizing goal, then the genetic algorithm is used to optimize the outputting of each micro-source and the charging power of BSS so that the optimal operation is realized.

Micro-Grid Energy Optimization Base on Installing Heat Storage Tank to Decouple “Heat-Load-Based” Running Constraint of CHP

2014 ◽  
Vol 672-674 ◽  
pp. 1274-1280
Author(s):  
Shan Shan Shi ◽  
Fang Liu ◽  
Xiu Yang
Keyword(s):  
Heat Load ◽  
Storage Tank ◽  
Heat Storage ◽  
Operation Mode ◽  
Operating Cost ◽  
Electric Energy ◽  
Optimization Method ◽  
Chance Constrained Programming ◽  
Micro Grid ◽  
Constrained Programming

Installing heat storage tank (HST) to decouple CHP “heat-load-based” running mode, which will improve operation efficiency of CHP and enhance the ability of peak-adjusting in micro-grid (MG) system, and also be benefit for MG to consume high penetration renewable energy. For the randomness of wind turbines and photovoltaics output and the volatility of loads, a comprehensive optimization method for MG heat and electric energy based on chance-constrained programming is proposed. This method has considered thermal balance constraints and HST operation constraints, which made MG minimum operating cost as optimization goal, and optimize the output of each micro-source by genetic algorithm to form the best operation mode.

Static Planning for Micro-Grid Power Source Based on Multi-Energy Source Hybrid Power Supply with the Minimum Operating Cost

2013 ◽  
Vol 409-410 ◽  
pp. 673-679
Author(s):  
Zhong Jing Liu ◽  
Xiao Jiang Huo ◽  
Hao Cheng ◽  
Yu Na Li
Keyword(s):  
Energy Source ◽  
Power Supply ◽  
Operating Cost ◽  
Operating Costs ◽  
Maintenance Cost ◽  
Hybrid Power ◽  
Micro Grid ◽  
Static Planning ◽  
Minimum Operating

Because the micro-grid investors, beneficiary, management mode, etc. are fairly different from those of traditional power grid. From the perspective of micro grid users or operators, this paper analyzes the operating and maintenance cost of power pack of multi-energy source hybrid power supply, designs the micro-grid power pack model of multi-energy source hybrid power supply by use of static planning measure, aiming at the minimization of operating cost, and analyzes the power pack configuration under the condition of different minimum operating costs by case study and how to achieve the operating and maintenance profits.

Multi-Objective Operation Optimization of a Micro-Grid Using Modified Honey Bee Mating Optimization Algorithm

2014 ◽  
Vol 494-495 ◽  
pp. 1593-1597 ◽  
Author(s):  
Li Zhen Wu ◽  
Xiao Hong Hao
Keyword(s):  
Honey Bee ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
Pollutant Emissions ◽  
Superior Performance ◽  
Emissions Reduction ◽  
Nonlinear Constraint ◽  
Multi Objective ◽  
Micro Grid ◽  
Honey Bee Mating Optimization

Recently, it becomes the head of concern for the Micro-grid to derive an optimal operational planning with regard to energy costs minimization, pollutant emissions reduction and better utilization of renewable energy sources (RESs), which accompanied by a Wind Turbine/Fuel Cell/Photovoltaic and Battery hybrid power source to level the power mismatch or to store the surplus of energy when its needed. In this paper, a new method based on multi-objective Modified Honey Bee Mating Optimization (MHBMO) algorithm is proposed and implemented to dispatch the generations in a typical micro-grid considering economy and emission as competitive objectives. The problem is formulated as a nonlinear constraint multi-objective optimization problem to minimize the total operating cost and the net emission simultaneously. The proposed algorithm is tested on a typical MG and its superior performance is compared to those from other evolutionary algorithms such as GA (Genetic Algorithm) and the original Honey Bee Mating Optimization (HBMO).

scholarly journals Multi-Objective Day-Ahead Optimal Scheduling of Isolated Microgrid Considering Flexibility

2018 ◽  
Vol 53 ◽  
pp. 01024
Author(s):  
Liang Zhang ◽  
Bo Pang ◽  
Ruipeng Yi ◽  
Pengyu Gai ◽  
Chunqing Xin ◽  
...  
Keyword(s):  
Renewable Energy Sources ◽  
Operating Cost ◽  
Optimal Solution ◽  
Economic Losses ◽  
Optimal Operating ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Schedule Flexibility ◽  
Optimal Solution Set ◽  
Optimizing Model

In isolated microgrid, renewable energy sources including photovoltaic and wind power, have the nature of intermittence and variability. Making a reasonable day-ahead generation schedule could improve system ability to cope with uncertainty. Therefore, based on day-ahead generation schedule, flexibility insufficiency rate is proposed considering economy and flexibility. Aiming at the lowest flexibility insufficiency rate and optimal operating cost, a day-ahead generation schedule optimizing model of isolated microgrid is established. Under multi-objective particle swarm optimization, Pareto optimal solution set of the day-ahead generation schedule is found. Simulation results of an isolated microgrid show that, day-ahead generation schedule made with the proposed method can improve ability of power system to cope with uncertainty and reduce economic losses.

scholarly journals Multi-Objective Optimization Dispatch Based Energy Management of A Microgrid Running Under Grid Connected and Standalone Operation Mode

2021 ◽  
Vol 10 (2) ◽  
pp. 333-343
Author(s):  
Marouane Lagouir ◽  
Abdelmajid Badri ◽  
Yassine Sayouti
Keyword(s):  
Optimization Problem ◽  
Operation Mode ◽  
Operating Cost ◽  
Optimization Techniques ◽  
Pollutant Emission ◽  
System Control ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Weighted Sum Method

This paper presents a novel optimization approach for a day-ahead power management and control of a DC microgrid (MG). The multi-objective optimization dispatch (MOOD) problem involves minimizing the overall operating cost, pollutant emission levels of (NOx, SO2 and CO2) and the power loss cost of the conversion devices. The weighted sum method is selected to convert the multi-objective optimization problem into a single optimization problem. Then, analytic hierarchy process (AHP) method is applied to determine the weight coefficients, according to the preference of each objective function. The system’s performance is evaluated under both grid connected and standalone operation mode, considering power balancing, high level penetration of renewable energy, optimal scheduling of charging/discharging of battery storage system, control of load curtailment and the system technical constraints. Ant lion optimizer (ALO) method is considered for handling MOOD, and the performance of the proposed algorithm is compared with other known heuristic optimization techniques.  The simulation results prove the effectiveness and the capability of the developed approach to deal better with the coordinated control and optimization dispatch problem.They also revealed that economically running the MG system under grid connected mode can reduce the overall cost by around 4.70% compared to when it is in standalone operation mode.

Minimum Operating Cost Planning for Micro-Grid Power Source Based on Multi-Energy Source Hybrid Power Supply

2013 ◽  
Vol 804 ◽  
pp. 391-395
Author(s):  
Hao Cheng ◽  
Zhong Jing Liu
Keyword(s):  
Energy Source ◽  
Power Supply ◽  
Operating Cost ◽  
Maintenance Cost ◽  
Hybrid Power ◽  
Cost Planning ◽  
Micro Grid ◽  
Static Planning ◽  
Minimum Operating

The reasonable deployment of micro-grid power supply determines the application domain and flexibility of micro grid. Because the micro-grid investors, beneficiary, management mode, etc. are fairly different from those of traditional power grid. From the perspective of micro grid users or operators, this paper analyzes the operating and maintenance cost of power pack of multi-energy source hybrid power supply, designs the micro-grid power pack model of multi-energy source hybrid power supply by use of static planning measure, aiming at the minimization of operating cost, and analyzes the power pack configuration under the condition of different minimum operating costs by case study and how to achieve the operating and maintenance profits and reliability.

scholarly journals Multi-Objective Energy Management of a Micro-Grid Considering Stochastic Nature of Load and Renewable Energy Resources

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 403
Author(s):  
Deyaa Ahmed ◽  
Mohamed Ebeed ◽  
Abdelfatah Ali ◽  
Ali S. Alghamdi ◽  
Salah Kamel
Keyword(s):  
Renewable Energy ◽  
Objective Function ◽  
Energy Management ◽  
Energy Resources ◽  
Management Problem ◽  
Renewable Energy Resources ◽  
Multi Objective ◽  
Stochastic Nature ◽  
Whale Optimization ◽  
Micro Grid

Optimal inclusion of a photovoltaic system and wind energy resources in electrical grids is a strenuous task due to the continuous variation of their output powers and stochastic nature. Thus, it is mandatory to consider the variations of the Renewable energy resources (RERs) for efficient energy management in the electric system. The aim of the paper is to solve the energy management of a micro-grid (MG) connected to the main power system considering the variations of load demand, photovoltaic (PV), and wind turbine (WT) under deterministic and probabilistic conditions. The energy management problem is solved using an efficient algorithm, namely equilibrium optimizer (EO), for a multi-objective function which includes cost minimization, voltage profile improvement, and voltage stability improvement. The simulation results reveal that the optimal installation of a grid-connected PV unit and WT can considerably reduce the total cost and enhance system performance. In addition to that, EO is superior to both whale optimization algorithm (WOA) and sine cosine algorithm (SCA) in terms of the reported objective function.

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