Optimal Coordination Method for an ADN With Multiple Network-Constrained VPPs

This article proposes a multi-level operation framework for an active distribution network (ADN) with multiple network-constrained virtual power plants (VPPs). We consider the market clearing process, ADN and VPPs' profits, peer-to-peer (P2P) energy trading among and between the ADN and VPPs, a...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 40; no. 1; pp. 394 - 407
Main Authors: Ge, Chengyang, Lin, Shunfu, Li, Fangxing, Wang, Peng, Yang, Fan, Li, Dongdong
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
active distribution network
Constraints
distributed energy resource
Duality theorem
Electricity supply industry
Emissions trading
Energy storage
Integer programming
Linear programming
Mixed integer
Multilayers
Optimization
Peer-to-peer computing
peer-to-peer energy trading
Power demand
pricing strategy
Reactive power
Virtual power plant
Virtual power plants
Voltage
ISSN:0885-8950, 1558-0679
Online Access:Get full text
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Summary:This article proposes a multi-level operation framework for an active distribution network (ADN) with multiple network-constrained virtual power plants (VPPs). We consider the market clearing process, ADN and VPPs' profits, peer-to-peer (P2P) energy trading among and between the ADN and VPPs, and carbon trading to be functioning cooperatively under the energy and reactive power auxiliary service markets. Through this approach we have developed a multi-layer framework for the multi-VPP system by formulating bidding plans for the superior market operator and comprehensively issuing active/reactive incentive prices to the VPPs. In order to overcome the tractability of the solution, we transform the original multi-layer model into an equivalent single-level mixed integer linear programming (MILP) problem with Karush Kuhn Tucker (KKT) optimality conditions and a strong duality theorem. Through case studies based on the IEEE 33-bus test system we verify that the proposed method can effectively enhance system voltage security and will result in greater economic benefits to system participants.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2024.3398019