Multi-stage Power Source and Grid Coordination Planning Method Considering Grid Load Uniformity

Integrated energy system (IES) planning is a long-term and rolling decision-making process. According to System Development Theory, the development-needs at different stages are different. Therefore, an IES dynamic multi-stage planning method considering different development stages is proposed. The first step of the method is putting forward a model based on the degree of system coupling, the reserve ratio, and the penetration rate of clean energy to divide dynamic development stages. Secondly, establishing a dynamic multi-stage planning model of the IES by combining the needs of different development stages through dynamic goals and constraints. Finally, the results given by the optimal configuration of critical IES equipment will be analysed in different scenarios. Following these steps, the result shows that the dynamic multi-stage planning method proposed is able to reduce the total planning cost of the system by 14% and reducing the clean energy penetration rate by 3%. Therefore, the proposed dynamic multi-stage planning scheme is effective and economical.

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A multi-stage stochastic transmission expansion planning method

Energy Conversion and Management ◽

10.1016/j.enconman.2011.02.023 ◽

2011 ◽

Vol 52 (8-9) ◽

pp. 2844-2853 ◽

Cited By ~ 52

Author(s):

Tohid Akbari ◽

Ashkan Rahimikian ◽

Ahad Kazemi

Keyword(s):

Planning Method ◽

Expansion Planning ◽

Transmission Expansion Planning ◽

Transmission Expansion ◽

Multi Stage

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A fuzzy multi-stage path-planning method for a robot in a dynamic environment with unknown moving obstacles

Robotica ◽

10.1017/s0263574714001064 ◽

2014 ◽

Vol 33 (9) ◽

pp. 1869-1885 ◽

Cited By ~ 6

Author(s):

Pooya Mobadersany ◽

Sohrab Khanmohammadi ◽

Sehraneh Ghaemi

Keyword(s):

Path Planning ◽

Blood Vessels ◽

Dynamic Environment ◽

Planning Method ◽

Planning Problem ◽

Complex Environments ◽

Time Intervals ◽

Moving Obstacles ◽

Multi Stage ◽

Static Form

SUMMARYPath planning is one of the most important fields in robotics. Only a limited number of articles have proposed a practical way to solve the path-planning problem with moving obstacles. In this paper, a fuzzy path-planning method with two strategies is proposed to navigate a robot among unknown moving obstacles in complex environments. The static form of the environment is assumed to be known, but there is no prior knowledge about the dynamic obstacles. In this situation, an online and real-time approach is essential for avoiding collision. Also, the approach should be efficient in natural complex environments such as blood vessels. To examine the efficiency of the proposed algorithm, a drug delivery nanorobot moving in a complex environment (blood vessels) is supposed. The Monte Carlo simulation with random numbers is used to demonstrate the efficiency of the proposed approach, where the dynamic obstacles are assumed to appear in exponentially distributed random time intervals.

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Interaction of Energy-Grid-Load Based on Demand Side Response of Full-cost Electricity Price

Distributed Generation & Alternative Energy Journal ◽

10.13052/dgaej2156-3306.3611 ◽

2021 ◽

Author(s):

Xin-ying Xu ◽

Qi-jie Jiang ◽

Chuan-bin Yin ◽

Xiao-wen Jie

Keyword(s):

Power Grid ◽

Power Source ◽

Electricity Price ◽

Demand Side ◽

Full Cost ◽

Grid Load ◽

The Cost ◽

Energy Grid ◽

Grid Resources ◽

Demand Side Response

In the research of intelligent grids, people usually pay attention to the interaction between power source and load to absorb more new energy. In contrast, the utilization of power source and load on grid resources is less considered, and energy-grid-load is not fully explored. The profound benefits and value of the three interactions. To this end, the paper proposes the interactive mode and method of power supply, power grid, and load based on full-cost electricity price. The power source side needs to consider the impact of transmission costs when optimizing economic dispatch; the load side needs to calculate the full-cost electricity price based on the power flow tracking method, clarify the load’s use of power and grid resources, and reflect the “who benefits, who bears the cost” Principles and introduce demand-side response to reflect the meaning and value of full-cost electricity prices. The research found that the calculation example analysis based on the IEEE30-node system verifies that the method in this paper can reasonably allocate the cost of the power grid according to the user’s utilization of power grid resources, thereby improving the efficiency, fairness, orderliness and safety of power grid investment and operation.

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