Composite generation and transmission expansion planning considering distributed generation

• A framework for composite generation and transmission expansion planning is proposed.
• The model is based upon Mixed-Integer Linear Programming.
• Economic effects of location of fuel sources is investigated.
• It was applied to the Iranian power system.
• The model helps investors to identify the optimal capacity, type and location of DGs.

This paper presents a model for use in the problem of composite generation and transmission expansion planning considering distributed generation. Generation expansion planning is defined as the problem of determining what capacity, which, and when new generating units should be constructed over a long range planning horizon, to satisfy the expected energy demand using single nodal generation planning model. Then, the place of every planned generating units and distributed generation is determined simultaneous with transmission expansion planning considering nonuniform geographical fuel supply cost and potential of distributed generation technology. The problem is formulated as a Mixed-Integer Linear Programming. By allocating the overall generation capacity among the grid nodes and determining the new transmission element additions along the planning horizon, the overall cost of the system is minimized. To assess the capabilities of the proposed approach, the Iranian Power Grid as a large scale system is considered. The effectiveness of the proposed modifications is illustrated in detail.

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